Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data modelling and shape core data architecture for a global organisation.
- Company: Dynamic consumer-experience company undergoing digital transformation.
- Benefits: Up to £110,000 salary, flexible hybrid work, and discretionary bonuses.
- Other info: Opportunity to influence enterprise-wide architecture in a diverse international portfolio.
- Why this job: Make a real impact on data foundations during a pivotal digital transformation.
- Qualifications: 5-8 years in data modelling, leadership experience, and strong technical skills.
The predicted salary is between 110000 - 110000 £ per year.
A global consumer‑experiences organisation with a diverse international portfolio is undergoing a digital transformation to enhance the end‑to‑end guest journey across its attractions. They are now hiring a Lead Data Modeller to play a critical role in this strategic transformation.
They are looking for an individual with a unique blend of Data Modelling and Data Analysis expertise, supported by a strong foundational understanding of architecture. You’ll be responsible for building and shaping the core data architecture suite, working closely with data architects and analytics teams to understand enterprise‑wide consumption needs and translate them into high‑quality physical data models. You’ll bring strong knowledge of both AI‑driven data design and traditional modelling semantics, balancing business strategy with technical detail.
Responsibilities as a Lead Data Modeller:
- Design and own the Cross-Group Data Model.
- Act as the internal consultant for report makers across the business.
- Implement and own the Data Catalogue using Databricks Unity.
- Act as the direct Line Manager for Data Analysts.
- Map the "As-Is" data flows.
Key Requirements:
- ~5–8 years of experience in data modelling or data architecture, including at least 3 years in a leadership role.
- ~ Strong Dimensional Modelling skills (Kimball).
- ~ Solid experience with Databricks Unity Catalog and Microsoft Fabric/Purview.
- ~ Advanced Power BI (DAX/modelling) and Excel capability to effectively support report creators.
- ~ Proven ability to build a semantic layer from scratch in a complex, multi‑site environment.
Nice-to-Haves:
- Strong communication skills and a passion for mentoring.
- High attention to detail.
- Confidence working with stakeholders at all levels.
Benefits:
- Salary up £110,000
- Flexible Hybrid working structure
- Discretionary company bonus
This is a great opportunity to shape the data foundations of a global organisation at a pivotal moment in its digital transformation, giving you the freedom to influence enterprise‑wide architecture across an international portfolio.
Data Architect / Technology Lead in London employer: Formula.
Contact Detail:
Formula. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect / Technology Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data modelling and architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through projects or a portfolio. If you’ve worked on any data architecture projects, make sure to highlight them. We love seeing real-world applications of your expertise!
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals ready to shape the future of data architecture.
We think you need these skills to ace Data Architect / Technology Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in data modelling and architecture, especially any leadership roles you've had. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Lead Data Modeller role. Share specific examples of your past work that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise, especially with tools like Databricks Unity and Power BI. We’re keen on seeing how you’ve used these in previous roles, so be specific about your achievements!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity in our digital transformation journey!
How to prepare for a job interview at Formula.
✨Know Your Data Modelling Inside Out
Make sure you brush up on your Dimensional Modelling skills, especially the Kimball methodology. Be ready to discuss how you've applied these techniques in past projects and how they can benefit the organisation's digital transformation.
✨Familiarise Yourself with Databricks Unity
Since you'll be implementing and owning the Data Catalogue using Databricks Unity, it’s crucial to understand its features and functionalities. Prepare to share examples of how you've used it or similar tools in your previous roles.
✨Showcase Your Leadership Skills
As a Lead Data Modeller, you'll be managing Data Analysts. Highlight your leadership experience and mentoring style during the interview. Share specific instances where you've guided teams to success and how you handle stakeholder communication.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of data architecture and AI-driven data design. Practice explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with stakeholders at all levels.